Cargando…
A Deep Learning Method for the Prediction of the Index Mechanical Properties and Strength Parameters of Marlstone
The index mechanical properties, strength, and stiffness parameters of rock materials (i.e., uniaxial compressive strength, c, ϕ, E, and G) are critical factors in the proper geotechnical design of rock structures. Direct procedures such as field surveys, sampling, and testing are used to estimate t...
Autores principales: | Azarafza, Mohammad, Hajialilue Bonab, Masoud, Derakhshani, Reza |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9572758/ https://www.ncbi.nlm.nih.gov/pubmed/36234239 http://dx.doi.org/10.3390/ma15196899 |
Ejemplares similares
-
A novel empirical classification method for weak rock slope stability analysis
por: Azarafza, Mohammad, et al.
Publicado: (2022) -
Deep learning-based landslide susceptibility mapping
por: Azarafza, Mohammad, et al.
Publicado: (2021) -
The predictive model for COVID-19 pandemic plastic pollution by using deep learning method
por: Nanehkaran, Yaser A., et al.
Publicado: (2023) -
A Q(slope)-based empirical method to stability assessment of mountain rock slopes in multiple faults zone: A case for North of Tabriz
por: Kouhdaragh, Mehdi, et al.
Publicado: (2022) -
Discontinuous rock slope stability analysis under blocky structural sliding by fuzzy key-block analysis method
por: Azarafza, Mohammad, et al.
Publicado: (2020)